Data Science & NLP Research Intern (Graduate Level) – Summer 2026
Company: Insights Lc
Location: Remote, with the ability to work from our Sterling, VA office as needed
Duration: 10 Weeks
Schedule: Approximately 20 hours per week (4 hours per day)
Compensation: $20–$25 per hour
Work Authorization: Must be authorized to work in the United States without current or future sponsorship
About Insights Lc
Insights Lc is a mission-focused data analytics and decision-support firm serving Federal Government clients. We help leaders make informed decisions by transforming complex, large-scale data into actionable insights. Our work supports high-visibility initiatives with meaningful national impact.
About the Internship
Insights Lc is seeking a highly motivated graduate student to support an applied research initiative focused on aviation safety, human performance, and AI-assisted narrative analysis. This internship provides an opportunity to apply data science, natural language processing (NLP), taxonomy development, and emerging AI technologies to large-scale operational datasets and real-world safety challenges. The selected candidate will contribute to research efforts aimed at identifying safety trends, improving classification frameworks, and advancing AI-assisted analytics capabilities.
Responsibilities
● Analyze structured and unstructured aviation safety datasets
● Develop and maintain text-processing pipelines to ingest, clean, classify, and organize narrative data
● Apply NLP techniques to identify emerging safety trends, patterns, and insights
● Conduct taxonomy analysis and recommend enhancements to existing classification frameworks
● Use Python and AI-assisted analytical methods to support research objectives
● Collaborate with fellow researchers and interns to prepare structured evidence packages and re search deliverables
● Create visualizations and exploratory analyses to communicate findings effectively
● Document methodologies, results, and research outputs in a clear and organized manner
Qualifications
Required
● Must be legally authorized to work in the United States. Candidates requiring Curricular Practical Training (CPT) are encouraged to apply if they meet their university's eligibility requirements and can obtain CPT authorization prior to the internship start date.
●Currently pursuing or recently completed a Master’s or Ph.D. in Data Science, Computer Science, Statistics, Applied Mathematics, Information Science, or a related field
● Experience using Python for data analysis, data preparation, and automation
● Experience applying Natural Language Processing (NLP) techniques to large collections of textual data
● Knowledge of Generative AI, Large Language Models (LLMs), and AI-assisted analytical workflows
● Experience developing taxonomies, classification schemes, ontologies, or related knowledge organization frameworks using data-driven approaches
● Strong analytical, problem-solving, and organizational skills
● Ability to work independently and collaboratively in a team environment
● Strong written and verbal communication skills
Preferred
● Experience with Python libraries such as pandas, NumPy, spaCy, NLTK, scikit-learn, or similar tools
● Experience with data visualization tools and techniques
● Familiarity with prompt engineering, retrieval-augmented generation (RAG), or AI-assisted research workflows
● Research, internship, or project experience involving real-world datasets
● Interest or experience in aviation, transportation safety, human factors, safety management systems, or risk analysis
Desired Keywords and Skills
Natural Language Processing (NLP), Large Language Models (LLMs), Generative AI, Machine Learning, Python, Text Analytics, Taxonomy Development, Ontology Development, Knowledge Management, Data Science, Research Analytics, Human Factors, Aviation Safety, Data Visualization, AI-Assisted Analysis.
What You’ll Gain
This internship offers hands-on experience applying advanced analytics, NLP, taxonomy development, and AI-assisted methodologies to operational research challenges in aviation safety and human performance. Interns will contribute to meaningful research efforts while gaining practical experience working with real-world data, emerging AI technologies, and Federal Government-focused analytics projects.
How to Apply
Please submit:
● A current resume
● A brief statement of interest describing your background and interest in the position
Be sure to highlight relevant coursework, research, projects, internships, publications, or extracurricular activities related to data science, artificial intelligence, machine learning, natural language processing, or analytics.
Pay: $20.00 - $25.00 per hour
Work Location: Hybrid remote in Sterling, VA 20165
